Multi-Period MIP Models for Real-Time Scheduling and Resource Allocation in Digital Twin-Enabled Systems

Authors

DOI:

https://doi.org/10.31181/jidmgc1120252

Keywords:

Multi-period scheduling, Mixed-Integer Programming (MIP), Real-time resource allocation, Digital Twin, Cyber-physical systems, Smart manufacturing, Dynamic optimization, Production planning, Industrial Internet of Things (IIoT), Operational efficiency

Abstract

The use of Digital Twin (DT) technology in advanced industrial systems enables us to have better real-time monitoring, control, and optimization of complex processes. This paper presents new multi-period mixed-integer programming (MIP) models that can solve the problems of real-time scheduling and resource allocation in Digital Twin-based environments. The new models include dynamic system behavior across a number of different time periods with resource capacity constraints, task precedence, and working deadlines. Taking advantage of the real-time data streams from Digital Twins, the models learn and adapt to system variations and uncertainty to facilitate optimal decision-making for resource utilization and production efficiency. Computational experimentation on conventional case studies demonstrates the practicability and scalability of the approach and its potential to increase responsiveness and operational efficiency in cyber-physical systems and smart manufacturing.

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Author Biographies

  • Safiye Turgay, Department of Industrial Engineering, Faculty of Engineering, Sakarya University, Sakarya, Turkey

    Department of Industrial Engineering, Faculty of Engineering, Sakarya University, Sakarya, Turkey

  • Nimet Merve Telçeken, Department of Computer Engineering, Faculty of Computer and Information Sciences, Sakarya University, Sakarya, Turkey

    Department of Computer Engineering, Faculty of Computer and Information Sciences, Sakarya University, Sakarya, Turkey

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Published

2025-06-05

Issue

Vol. 1 No. 1 (2025): Journal of Intelligent Decision Making and Granular Computing

Section

Articles

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Copyright (c) 2025 Safiye Turgay, Nimet Merve Telçeken (Author)

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Turgay, S., & Telçeken, N. M. (2025). Multi-Period MIP Models for Real-Time Scheduling and Resource Allocation in Digital Twin-Enabled Systems. Journal of Intelligent Decision Making and Granular Computing, 1(1), 29-47. https://doi.org/10.31181/jidmgc1120252